GraphPL combines GNNs with patchwork learning to integrate all observed modalities for unsupervised imputation, achieving SOTA results on benchmarks and enabling disease prediction on real EHR data.
Patchwork learn- ing: A paradigm towards integrative analysis across diverse biomedical data sources
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GraphPL: Leveraging GNN for Efficient and Robust Modalities Imputation in Patchwork Learning
GraphPL combines GNNs with patchwork learning to integrate all observed modalities for unsupervised imputation, achieving SOTA results on benchmarks and enabling disease prediction on real EHR data.